Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications

ISBN: 9780521141383 出版年：2012 页码：362 Lusher Koskinen Robins Cambridge University Press

Introduction Dean Lusher, Johan Koskinen and Garry Robins 1. What are exponential random graph models Garry Robins and Dean Lusher 2. The formation of social network structure Dean Lusher and Garry Robins 3. A simplified account of ERGM as a statistical model Garry Robins and Dean Lusher 4. An example of ERGM analysis Dean Lusher and Garry Robins 5. Exponential random graph model fundamentals Johan Koskinene and Galina Daraganova 6. Dependence graphs and sufficient statistics Johan Koskinen and Galina Daraganova 7. Social selection, dyadic covariates and geospatial effects Garry Robins and Galina Daraganova 8. Autologistic actor attribute models Galina Daraganova and Garry Robins 9. ERGM extensions: models for multiple networks and bipartite networks Peng Wang 10. Longitudinal models Tom Snijders and Johan Koskinen 11. Simulation, estimation and goodness of fit Johan Koskinen and Tom Snijders 12. Illustrations: simulation, estimation and goodness of fit Garry Robins and Dean Lusher 13. Personal attitudes, perceived attitudes and social structures: a social selection model Dean Lusher and Garry Robins 14. How to close a hole: exploring alternative closure mechanisms in inter-organizational networks Alessandro Lomi and Francesca Pallotti 15. Interdependencies between working relations: multivariate ERGMs for advice and satisfaction Yu Zhao and Olaf Rank 16. Brain, brawn or optimism? The structure and correlates of emergent military leadership Yuval Kalish and Gil Luria 17. An ALAAM analysis of unemployment: the dual importance of who you know and where you live Galina Daraganova and Philippa Pattison 18. Longitudinal changes in face-to-face and text message-mediated friendship networks Tasuku Igarashi 19. The differential impact of directors' social and financial capital on corporate interlock formation Nicholas Harrigan and Matthew Bond 20. Comparing networks: a structural correspondence between behavioural and recall networks Eric Quintane 21. Modelling social networks: next steps Philippa Pattison and Tom Snijders.